Aimtell MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Aimtell through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Aimtell "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Aimtell?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Aimtell MCP Server
Connect your Aimtell account to your AI agent to unlock professional web push notification management. From sending one-off alerts to specific subscribers to auditing segment criteria and monitoring real-time campaign analytics, your agent handles your re-engagement strategy through natural conversation.
Pydantic AI validates every Aimtell tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Campaign Orchestration — List and manage push notification campaigns, including one-off, triggered, and API campaigns
- Subscriber Management — Retrieve details for specific subscribers and update custom attributes for personalization
- Segmentation Oversight — List and audit your subscriber segments to ensure your targeting is always precise
- Real-time Analytics — Retrieve granular performance data (clicks, sends, conversions) for any campaign directly from chat
- Multi-site Support — List and manage the different websites associated with your Aimtell account
The Aimtell MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Aimtell to Pydantic AI via MCP
Follow these steps to integrate the Aimtell MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Aimtell with type-safe schemas
Why Use Pydantic AI with the Aimtell MCP Server
Pydantic AI provides unique advantages when paired with Aimtell through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Aimtell integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Aimtell connection logic from agent behavior for testable, maintainable code
Aimtell + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Aimtell MCP Server delivers measurable value.
Type-safe data pipelines: query Aimtell with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Aimtell tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Aimtell and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Aimtell responses and write comprehensive agent tests
Aimtell MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Aimtell to Pydantic AI via MCP:
add_subscriber_attribute
Add custom data to subscriber
get_campaign_performance
Get campaign metrics
get_subscriber_details
Get subscriber metadata
list_api_campaigns
List API-triggered campaigns
list_campaigns
List push campaigns
list_segments
List subscriber segments
list_sites
List managed websites
list_subscribers
List site subscribers
list_triggered_campaigns
List automated campaigns
send_one_off_notification
Send an alert
Example Prompts for Aimtell in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Aimtell immediately.
"List all active segments in my Aimtell account."
"Show me the performance for campaign ID 12345."
"Send a one-off push to segment 9876 with title 'Special Offer' and body 'Get 20% off today only!'."
Troubleshooting Aimtell MCP Server with Pydantic AI
Common issues when connecting Aimtell to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAimtell + Pydantic AI FAQ
Common questions about integrating Aimtell MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Aimtell with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Aimtell to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
